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Multidetector CT diagnosis of non-traumatic gastroduodenal perforation
Introduction To identify reliable CT features and assess the diagnostic performance of 64‐multidetector CT (MDCT) in diagnosing non‐traumatic gastroduodenal perforation (GDP). Methods We retrospectively reviewed 136 CT scans of patients with surgically proven non‐traumatic gastrointestinal perforati...
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Published in: | Journal of medical imaging and radiation oncology 2016-04, Vol.60 (2), p.182-186 |
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creator | Lee, Dabee Park, Mi-hyun Shin, Byung Seok Jeon, Gyeong Sik |
description | Introduction
To identify reliable CT features and assess the diagnostic performance of 64‐multidetector CT (MDCT) in diagnosing non‐traumatic gastroduodenal perforation (GDP).
Methods
We retrospectively reviewed 136 CT scans of patients with surgically proven non‐traumatic gastrointestinal perforation during 7 years. 92 patients had GDP and 44 patients had other sites of perforation. CT features of perforation were evaluated and the sensitivity, specificity and likelihood ratios of each CT feature were estimated.
Results
The cause of GDP was peptic ulcer in 90 patients, gastric cancer in one patient, and foreign body of duodenal diverticulum in one patient. Extraluminal gas (97%) was most common CT feature of GDP, following by fluid or fat strand along gastroduodenum (89%), ascites (89%), wall defect and/or ulcer (84%), and wall thickening (72%). Of CT features, wall defect and/or ulcer showed the best positive likelihood ratios for GDP (36.83). Wall thickening also showed high positive likelihood ratios (10.52). Combined, these CT features showed 95% sensitivity and 93% specificity for localization of perforation site of GDP.
Conclusion
MDCT is useful in diagnosis of presence and site of GDP. Wall defect and/or ulcer and wall thickening have a high positive predictive value for localization of perforation site. |
doi_str_mv | 10.1111/1754-9485.12408 |
format | article |
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To identify reliable CT features and assess the diagnostic performance of 64‐multidetector CT (MDCT) in diagnosing non‐traumatic gastroduodenal perforation (GDP).
Methods
We retrospectively reviewed 136 CT scans of patients with surgically proven non‐traumatic gastrointestinal perforation during 7 years. 92 patients had GDP and 44 patients had other sites of perforation. CT features of perforation were evaluated and the sensitivity, specificity and likelihood ratios of each CT feature were estimated.
Results
The cause of GDP was peptic ulcer in 90 patients, gastric cancer in one patient, and foreign body of duodenal diverticulum in one patient. Extraluminal gas (97%) was most common CT feature of GDP, following by fluid or fat strand along gastroduodenum (89%), ascites (89%), wall defect and/or ulcer (84%), and wall thickening (72%). Of CT features, wall defect and/or ulcer showed the best positive likelihood ratios for GDP (36.83). Wall thickening also showed high positive likelihood ratios (10.52). Combined, these CT features showed 95% sensitivity and 93% specificity for localization of perforation site of GDP.
Conclusion
MDCT is useful in diagnosis of presence and site of GDP. Wall defect and/or ulcer and wall thickening have a high positive predictive value for localization of perforation site.</description><identifier>ISSN: 1754-9477</identifier><identifier>EISSN: 1754-9485</identifier><identifier>DOI: 10.1111/1754-9485.12408</identifier><identifier>PMID: 26598795</identifier><language>eng</language><publisher>Australia: Blackwell Publishing Ltd</publisher><subject>Adult ; Aged ; Aged, 80 and over ; Causality ; Comorbidity ; Defects ; Female ; Humans ; intestines ; Localization ; Male ; Middle Aged ; multidetector computed tomography ; Multidetector Computed Tomography - statistics & numerical data ; Patients ; peptic ulcer ; Peptic Ulcer - diagnostic imaging ; Peptic Ulcer - epidemiology ; Peptic Ulcer Perforation - diagnostic imaging ; Peptic Ulcer Perforation - epidemiology ; perforation ; Prevalence ; Reproducibility of Results ; Republic of Korea - epidemiology ; Risk Factors ; Sensitivity and Specificity ; Ulcers</subject><ispartof>Journal of medical imaging and radiation oncology, 2016-04, Vol.60 (2), p.182-186</ispartof><rights>2015 The Royal Australian and New Zealand College of Radiologists</rights><rights>2015 The Royal Australian and New Zealand College of Radiologists.</rights><rights>Copyright © 2016 The Royal Australian and New Zealand College of Radiologists</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27922,27923</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/26598795$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Lee, Dabee</creatorcontrib><creatorcontrib>Park, Mi-hyun</creatorcontrib><creatorcontrib>Shin, Byung Seok</creatorcontrib><creatorcontrib>Jeon, Gyeong Sik</creatorcontrib><title>Multidetector CT diagnosis of non-traumatic gastroduodenal perforation</title><title>Journal of medical imaging and radiation oncology</title><addtitle>Journal of Medical Imaging and Radiation Oncology</addtitle><description>Introduction
To identify reliable CT features and assess the diagnostic performance of 64‐multidetector CT (MDCT) in diagnosing non‐traumatic gastroduodenal perforation (GDP).
Methods
We retrospectively reviewed 136 CT scans of patients with surgically proven non‐traumatic gastrointestinal perforation during 7 years. 92 patients had GDP and 44 patients had other sites of perforation. CT features of perforation were evaluated and the sensitivity, specificity and likelihood ratios of each CT feature were estimated.
Results
The cause of GDP was peptic ulcer in 90 patients, gastric cancer in one patient, and foreign body of duodenal diverticulum in one patient. Extraluminal gas (97%) was most common CT feature of GDP, following by fluid or fat strand along gastroduodenum (89%), ascites (89%), wall defect and/or ulcer (84%), and wall thickening (72%). Of CT features, wall defect and/or ulcer showed the best positive likelihood ratios for GDP (36.83). Wall thickening also showed high positive likelihood ratios (10.52). Combined, these CT features showed 95% sensitivity and 93% specificity for localization of perforation site of GDP.
Conclusion
MDCT is useful in diagnosis of presence and site of GDP. Wall defect and/or ulcer and wall thickening have a high positive predictive value for localization of perforation site.</description><subject>Adult</subject><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Causality</subject><subject>Comorbidity</subject><subject>Defects</subject><subject>Female</subject><subject>Humans</subject><subject>intestines</subject><subject>Localization</subject><subject>Male</subject><subject>Middle Aged</subject><subject>multidetector computed tomography</subject><subject>Multidetector Computed Tomography - statistics & numerical data</subject><subject>Patients</subject><subject>peptic ulcer</subject><subject>Peptic Ulcer - diagnostic imaging</subject><subject>Peptic Ulcer - epidemiology</subject><subject>Peptic Ulcer Perforation - diagnostic imaging</subject><subject>Peptic Ulcer Perforation - epidemiology</subject><subject>perforation</subject><subject>Prevalence</subject><subject>Reproducibility of Results</subject><subject>Republic of Korea - epidemiology</subject><subject>Risk Factors</subject><subject>Sensitivity and Specificity</subject><subject>Ulcers</subject><issn>1754-9477</issn><issn>1754-9485</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><recordid>eNpdkcFPwyAUxonR6JyevZkmXrxUoUCBo043dZtLzIxHQgs1zK5MaKP77-1W3cF3eS98v--FfA-AMwSvUFvXiFESC8LpFUoI5Hugt3vZ382MHYHjEBYQpggRcQiOkpQKzgTtgeG0KWurTW3y2vloMI-0Ve-VCzZErogqV8W1V81S1TaP3lWovdON06ZSZbQyvnC-VVx1Ag4KVQZz-tv74HV4Px88xJPZ6HFwM4ktTiiPE01JUUCGKc410VzkIoUaKsrzAmUGQ5qlBFOFhchoq1NmMCI6oRhmmhGM--Cy27vy7rMxoZZLG3JTlqoyrgkSMQ4pSnjr6IOLf-jCNb79d0dBSHkiWur8l2qypdFy5e1S-bX8S6gFWAd82dKsdzqCcnMAuYlYbuKW2wPIp-njy2w7ts64c9pQm--dU_kPmTLMqHx7Hsnh-BaP78REIvwDF9CFnw</recordid><startdate>201604</startdate><enddate>201604</enddate><creator>Lee, Dabee</creator><creator>Park, Mi-hyun</creator><creator>Shin, Byung Seok</creator><creator>Jeon, Gyeong Sik</creator><general>Blackwell Publishing Ltd</general><general>Wiley Subscription Services, Inc</general><scope>BSCLL</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>7X8</scope></search><sort><creationdate>201604</creationdate><title>Multidetector CT diagnosis of non-traumatic gastroduodenal perforation</title><author>Lee, Dabee ; Park, Mi-hyun ; Shin, Byung Seok ; Jeon, Gyeong Sik</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i3258-2d54ff07353cd4d89c960d0a58cf1be305b6435a399b54d857e314d2530bd7433</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>Adult</topic><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>Causality</topic><topic>Comorbidity</topic><topic>Defects</topic><topic>Female</topic><topic>Humans</topic><topic>intestines</topic><topic>Localization</topic><topic>Male</topic><topic>Middle Aged</topic><topic>multidetector computed tomography</topic><topic>Multidetector Computed Tomography - statistics & numerical data</topic><topic>Patients</topic><topic>peptic ulcer</topic><topic>Peptic Ulcer - diagnostic imaging</topic><topic>Peptic Ulcer - epidemiology</topic><topic>Peptic Ulcer Perforation - diagnostic imaging</topic><topic>Peptic Ulcer Perforation - epidemiology</topic><topic>perforation</topic><topic>Prevalence</topic><topic>Reproducibility of Results</topic><topic>Republic of Korea - epidemiology</topic><topic>Risk Factors</topic><topic>Sensitivity and Specificity</topic><topic>Ulcers</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Lee, Dabee</creatorcontrib><creatorcontrib>Park, Mi-hyun</creatorcontrib><creatorcontrib>Shin, Byung Seok</creatorcontrib><creatorcontrib>Jeon, Gyeong Sik</creatorcontrib><collection>Istex</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>MEDLINE - Academic</collection><jtitle>Journal of medical imaging and radiation oncology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Lee, Dabee</au><au>Park, Mi-hyun</au><au>Shin, Byung Seok</au><au>Jeon, Gyeong Sik</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Multidetector CT diagnosis of non-traumatic gastroduodenal perforation</atitle><jtitle>Journal of medical imaging and radiation oncology</jtitle><addtitle>Journal of Medical Imaging and Radiation Oncology</addtitle><date>2016-04</date><risdate>2016</risdate><volume>60</volume><issue>2</issue><spage>182</spage><epage>186</epage><pages>182-186</pages><issn>1754-9477</issn><eissn>1754-9485</eissn><abstract>Introduction
To identify reliable CT features and assess the diagnostic performance of 64‐multidetector CT (MDCT) in diagnosing non‐traumatic gastroduodenal perforation (GDP).
Methods
We retrospectively reviewed 136 CT scans of patients with surgically proven non‐traumatic gastrointestinal perforation during 7 years. 92 patients had GDP and 44 patients had other sites of perforation. CT features of perforation were evaluated and the sensitivity, specificity and likelihood ratios of each CT feature were estimated.
Results
The cause of GDP was peptic ulcer in 90 patients, gastric cancer in one patient, and foreign body of duodenal diverticulum in one patient. Extraluminal gas (97%) was most common CT feature of GDP, following by fluid or fat strand along gastroduodenum (89%), ascites (89%), wall defect and/or ulcer (84%), and wall thickening (72%). Of CT features, wall defect and/or ulcer showed the best positive likelihood ratios for GDP (36.83). Wall thickening also showed high positive likelihood ratios (10.52). Combined, these CT features showed 95% sensitivity and 93% specificity for localization of perforation site of GDP.
Conclusion
MDCT is useful in diagnosis of presence and site of GDP. Wall defect and/or ulcer and wall thickening have a high positive predictive value for localization of perforation site.</abstract><cop>Australia</cop><pub>Blackwell Publishing Ltd</pub><pmid>26598795</pmid><doi>10.1111/1754-9485.12408</doi><tpages>5</tpages></addata></record> |
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subjects | Adult Aged Aged, 80 and over Causality Comorbidity Defects Female Humans intestines Localization Male Middle Aged multidetector computed tomography Multidetector Computed Tomography - statistics & numerical data Patients peptic ulcer Peptic Ulcer - diagnostic imaging Peptic Ulcer - epidemiology Peptic Ulcer Perforation - diagnostic imaging Peptic Ulcer Perforation - epidemiology perforation Prevalence Reproducibility of Results Republic of Korea - epidemiology Risk Factors Sensitivity and Specificity Ulcers |
title | Multidetector CT diagnosis of non-traumatic gastroduodenal perforation |
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